Roku
AI

Senior Data Scientist

Roku · San Jose, CA · $132k - $254k

Actively hiring Posted 7 months ago

Role overview

  • Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests
  • Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board.
  • Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
  • Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
  • Develop necessary data pipelines to power automation, validation and reporting
  • Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform
  • Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
  • Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback
  • Providing feedback directly to leadership on performance of various initiatives and untapped opportunities
  • 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
  • 5+ years of experience across consumer product, digital media or entertainment industries
  • Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
  • Hands on experience with visualization tools like Tableau or Looker
  • Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
  • Hands on experience in A/B testing and statistical modeling/forecasting

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

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About the company

The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.

Tags & focus areas

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Fulltime Data Science Ai